Nanofluid In Lid-driven Cavity Research Articles

Unveiling the magic of localized magnetic field on vortex dynamics and heat transfer of tetra-hybrid nanofluid in lid-driven cavity: an insightful investigation

Unveiling the magic of localized magnetic field on vortex dynamics and heat transfer of tetra-hybrid nanofluid in lid-driven cavity: an insightful investigation

Mixed convection heat transfer performance of water-based nanofluids in lid-driven cavity with wavy surfaces

A numerical investigation is performed into the mixed convection heat transfer characteristics of water-based nanofluids confined within a lid-driven cavity. In modeling the cavity, it is assumed that the left and right walls have a wavy surface, while the upper and lower walls are both flat. In addition, it is assumed that the left wavy-wall has a constant heat flux, the right wavy-wall is maintained at a low temperature, and the upper and lower walls are both insulated and move horizontally. The analysis considers three different nanofluids, namely Cu–water, Al2O3–water and TiO2–water. In performing the analysis, the governing equations are modeled using the Boussinesq approximation and are solved numerically using the finite-volume method. The simulations focus on the respective effects of the nanoparticle volume fraction, the type of nanofluid, the Richardson number, the Grashof number and the wavy surface geometry parameters on the mean Nusselt number. The results show that for all considered values of the Richardson number, the mean Nusselt number increases with an increasing volume fraction of nanoparticles. In addition, it is shown that the Cu–water nanofluid yields the best heat transfer performance of the three nanofluids. Furthermore, it is shown that the mean Nusselt number increases with an increasing Grashof number given a constant Richardson number. Finally, the results show that for a given nanofluid, the mean Nusselt number can be optimized via an appropriate tuning of the wavy surface geometry parameters.

Lattice Boltzmann simulation of nanofluid in lid-driven cavity

Lattice Boltzmann Method is applied to investigate the mixed convection flows utilizing nanofluids in a lid-driven cavity. The fluid in the cavity is a water-based nanofluid containing Cu, Cuo or Al 2O 3 nanoparticles. The effects of Reynolds number and solid volume fraction for different nanofluids on hydrodynamic and thermal characteristics are investigated. The effective thermal conductivity and viscosity of nanofluid are calculated by Chon and Brinkman models, respectively. The results indicate that the effects of solid volume fraction grow stronger sequentially for Al 2O 3, Cuo and Cu. In addition the increases of Reynolds number leads to decrease the solid concentration effect.